The main objective of the 5 days workshop on Practical Hands on Machine Learning will provide real life hands-on sessions. The workshop will touch upon real world problem solving code and working examples for the most common machine learning techniques used by developers and technical professionals worldwide. These session contains a breakdown of some Machine Learning variant, explaining how it works and how it is used in industries. The workshop will rotate around Machine Learning concepts using Python code with IPython console, Jupyter Notebook tools. The workshop will start with focus on data preparation, handling and manipulation using Pandas, visualizing statistical data with Seaborn, Fitting statistical models with statsmodels. Training the model developed is an essential part of the Machine Learning therefore techniques like supervised and unsupervised learning will be used. A full exploration of the various types of learning algorithms illustrates how the proper tools can help any developer extract information and insights from existing data.